Thomas Loveland (Former Employee)
Science and Products
Filter Total Items: 138
The global Landsat archive: Status, consolidation, and direction
New and previously unimaginable Landsat applications have been fostered by a policy change in 2008 that made analysis-ready Landsat data free and open access. Since 1972, Landsat has been collecting images of the Earth, with the early years of the program constrained by onboard satellite and ground systems, as well as limitations across the range of required computing, networking, and storage capa
Authors
Michael A. Wulder, Joanne C. White, Thomas Loveland, Curtis Woodcock, Alan Belward, Warren B. Cohen, Eugene A. Fosnight, Jerad Shaw, Jeffery G. Masek, David P. Roy
Landsat Science Team meeting: Winter 2015
The summer meeting of the joint U.S. Geological Survey (USGS)–NASA Landsat Science Team (LST) was held at the USGS’s Earth Resources Observation and Science (EROS) Center July 7-9, 2015, in Sioux Falls, SD. The LST co-chairs, Tom Loveland [EROS—Senior Scientist] and Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Landsat 8 Project Scientist], opened the three-day meeting on an upbeat note fol
Authors
Todd A. Schroeder, Thomas Loveland, Michael A. Wulder, James R. Irons
Landsat science team meeting: Summer 2015
The summer meeting of the joint U.S. Geological Survey (USGS)–NASA Landsat Science Team (LST) was held at the USGS’s Earth Resources Observation and Science (EROS) Center July 7-9, 2015, in Sioux Falls, SD. The LST co-chairs, Tom Loveland [EROS—Senior Scientist] and Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Landsat 8 Project Scientist], opened the three-day meeting on an upbeat note fol
Authors
Todd Schroeder, Thomas Loveland, Michael A. Wulder, James R. Irons
A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30 m continuous field tree cover data
The methodology for selection, creation, and application of a global remote sensing validation dataset using high resolution commercial satellite data is presented. High resolution data are obtained for a stratified random sample of 500 primary sampling units (5 km × 5 km sample blocks), where the stratification based on Köppen climate classes is used to distribute the sample globally among biomes
Authors
Bruce Pengra, Jordan Long, Devendra Dahal, Stephen V. Stehman, Thomas R. Loveland
Forecasting sagebrush ecosystem components and greater sage-grouse habitat for 2050: learning from past climate patterns and Landsat imagery to predict the future
Sagebrush (Artemisia spp.) ecosystems constitute the largest single North American shrub ecosystem and provide vital ecological, hydrological, biological, agricultural, and recreational ecosystem services. Disturbances have altered and reduced this ecosystem historically, but climate change may ultimately represent the greatest future risk. Improved ways to quantify, monitor, and predict climate-d
Authors
Collin G. Homer, George Z. Xian, Cameron L. Aldridge, Debra K. Meyer, Thomas R. Loveland, Michael S. O'Donnell
Global view of remote sensing of rangelands: Evolution, applications, future pathways
The term “rangeland” is rather nebulous, and there is no single definition of rangeland that is universally accepted by land managers, scientists, or international bodies (Lund, 2007; Reeves and Mitchell, 2011). Dozens and possibly hundreds (Lund, 2007) of definitions and ideologies exist because various stakeholders often have unique objectives requiring different information. For the purpose of
Authors
Matthew Reeves, Robert A. Washington-Allen, Jay Angerer, E. Raymond Hunt, Ranjani Wasantha Kulawardhana, Lalit Kumar, Tatiana Loboda, Thomas R. Loveland, Graciela Metternicht, R. Douglas Ramsey
Land-use and land-cover change
No abstract available.
Authors
Daniel G. Brown, Colin Polsky, Paul V. Bolstad, Samuel D. Brody, David Hulse, Roger Kroh, Thomas Loveland, Allison Thompson
Land cover trends dataset, 1973-2000
The U.S. Geological Survey Land Cover Trends Project is releasing a 1973–2000 time-series land-use/land-cover dataset for the conterminous United States. The dataset contains 5 dates of land-use/land-cover data for 2,688 sample blocks randomly selected within 84 ecological regions. The nominal dates of the land-use/land-cover maps are 1973, 1980, 1986, 1992, and 2000. The land-use/land-cover maps
Authors
Christopher E. Soulard, William Acevedo, Roger F. Auch, Terry L. Sohl, Mark A. Drummond, Benjamin M. Sleeter, Daniel G. Sorenson, Steven Kambly, Tamara S. Wilson, Janis L. Taylor, Kristi Sayler, Michael P. Stier, Christopher A. Barnes, Steven C. Methven, Thomas R. Loveland, Rachel Headley, Mark S. Brooks
Landsat-8: Science and product vision for terrestrial global change research
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared. Landsat 8 extends the remarkable 40 year Landsat record and has enhanced capabilities including new spectral bands in the blue and cirrus cloud-detection portion of the spectrum, two thermal bands, i
Authors
David P. Roy, M.A. Wulder, Thomas R. Loveland, C. E. Woodcock, R. G. Allen, M. C. Anderson, D. Helder, J. R. Irons, D.M. Johnson, R. Kennedy, T. A. Scambos, Crystal B. Schaaf, J. R. Schott, Y. Sheng, E. F. Vermote, A.S. Belward, R. Bindschadler, W.B. Cohen, F. Gao, J. D. Hipple, Patrick Hostert, J. Huntington, C.O. Justice, A. Kilic, Valeriy Kovalskyy, Z. P. Lee, Leo Lymburner, J. G. Masek, Joel McCorkel, Y. Shuai, R. Trezza, James Vogelmann, R.H. Wynne, Z. Zhu
A design for a sustained assessment of climate forcings and feedbacks on land use land cover change
Land use and land cover change (LULCC) significantly influences the climate system. Hence, to prepare the nation for future climate change and variability, a sustained assessment of LULCC and its climatic impacts needs to be undertaken. To address this objective, not only do we need to determine contemporary trends in land use and land cover that affect, or are affected by, weather and climate but
Authors
Thomas Loveland, Rezaul Mahmood
Landsat Science Team meeting — First Landsat 8 evaluations
The U.S. Geological Survey (USGS)-NASA Landsat Science Team (LST) met at the USGS’ Earth Resources Observation and Science (EROS) Center near Sioux Falls, SD, from October 29-31, 2013. All meeting presentations can be downloaded from landsat.usgs.gov/science_LST_October_29_31_2013.php.
Authors
Thomas R. Loveland, Michael A. Wulder, James R. Irons
Monitoring conterminous United States (CONUS) land cover change with Web-Enabled Landsat Data (WELD)
Forest cover loss and bare ground gain from 2006 to 2010 for the conterminous United States (CONUS) were quantified at a 30 m spatial resolution using Web-Enabled Landsat Data available from the USGS Center for Earth Resources Observation and Science (EROS) (http://landsat.usgs.gov/WELD.php). The approach related multi-temporal WELD metrics and expert-derived training data for forest cover loss an
Authors
M.C. Hansen, Alexey Egorov, P.V. Potapov, S.V. Stehman, A. Tyukavina, S.A. Turubanova, David P. Roy, S.J. Goetz, Thomas R. Loveland, J. Ju, A. Kommareddy, Valeriy Kovalskyy, C. Forsyth, T. Bents
Science and Products
Filter Total Items: 138
The global Landsat archive: Status, consolidation, and direction
New and previously unimaginable Landsat applications have been fostered by a policy change in 2008 that made analysis-ready Landsat data free and open access. Since 1972, Landsat has been collecting images of the Earth, with the early years of the program constrained by onboard satellite and ground systems, as well as limitations across the range of required computing, networking, and storage capa
Authors
Michael A. Wulder, Joanne C. White, Thomas Loveland, Curtis Woodcock, Alan Belward, Warren B. Cohen, Eugene A. Fosnight, Jerad Shaw, Jeffery G. Masek, David P. Roy
Landsat Science Team meeting: Winter 2015
The summer meeting of the joint U.S. Geological Survey (USGS)–NASA Landsat Science Team (LST) was held at the USGS’s Earth Resources Observation and Science (EROS) Center July 7-9, 2015, in Sioux Falls, SD. The LST co-chairs, Tom Loveland [EROS—Senior Scientist] and Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Landsat 8 Project Scientist], opened the three-day meeting on an upbeat note fol
Authors
Todd A. Schroeder, Thomas Loveland, Michael A. Wulder, James R. Irons
Landsat science team meeting: Summer 2015
The summer meeting of the joint U.S. Geological Survey (USGS)–NASA Landsat Science Team (LST) was held at the USGS’s Earth Resources Observation and Science (EROS) Center July 7-9, 2015, in Sioux Falls, SD. The LST co-chairs, Tom Loveland [EROS—Senior Scientist] and Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Landsat 8 Project Scientist], opened the three-day meeting on an upbeat note fol
Authors
Todd Schroeder, Thomas Loveland, Michael A. Wulder, James R. Irons
A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30 m continuous field tree cover data
The methodology for selection, creation, and application of a global remote sensing validation dataset using high resolution commercial satellite data is presented. High resolution data are obtained for a stratified random sample of 500 primary sampling units (5 km × 5 km sample blocks), where the stratification based on Köppen climate classes is used to distribute the sample globally among biomes
Authors
Bruce Pengra, Jordan Long, Devendra Dahal, Stephen V. Stehman, Thomas R. Loveland
Forecasting sagebrush ecosystem components and greater sage-grouse habitat for 2050: learning from past climate patterns and Landsat imagery to predict the future
Sagebrush (Artemisia spp.) ecosystems constitute the largest single North American shrub ecosystem and provide vital ecological, hydrological, biological, agricultural, and recreational ecosystem services. Disturbances have altered and reduced this ecosystem historically, but climate change may ultimately represent the greatest future risk. Improved ways to quantify, monitor, and predict climate-d
Authors
Collin G. Homer, George Z. Xian, Cameron L. Aldridge, Debra K. Meyer, Thomas R. Loveland, Michael S. O'Donnell
Global view of remote sensing of rangelands: Evolution, applications, future pathways
The term “rangeland” is rather nebulous, and there is no single definition of rangeland that is universally accepted by land managers, scientists, or international bodies (Lund, 2007; Reeves and Mitchell, 2011). Dozens and possibly hundreds (Lund, 2007) of definitions and ideologies exist because various stakeholders often have unique objectives requiring different information. For the purpose of
Authors
Matthew Reeves, Robert A. Washington-Allen, Jay Angerer, E. Raymond Hunt, Ranjani Wasantha Kulawardhana, Lalit Kumar, Tatiana Loboda, Thomas R. Loveland, Graciela Metternicht, R. Douglas Ramsey
Land-use and land-cover change
No abstract available.
Authors
Daniel G. Brown, Colin Polsky, Paul V. Bolstad, Samuel D. Brody, David Hulse, Roger Kroh, Thomas Loveland, Allison Thompson
Land cover trends dataset, 1973-2000
The U.S. Geological Survey Land Cover Trends Project is releasing a 1973–2000 time-series land-use/land-cover dataset for the conterminous United States. The dataset contains 5 dates of land-use/land-cover data for 2,688 sample blocks randomly selected within 84 ecological regions. The nominal dates of the land-use/land-cover maps are 1973, 1980, 1986, 1992, and 2000. The land-use/land-cover maps
Authors
Christopher E. Soulard, William Acevedo, Roger F. Auch, Terry L. Sohl, Mark A. Drummond, Benjamin M. Sleeter, Daniel G. Sorenson, Steven Kambly, Tamara S. Wilson, Janis L. Taylor, Kristi Sayler, Michael P. Stier, Christopher A. Barnes, Steven C. Methven, Thomas R. Loveland, Rachel Headley, Mark S. Brooks
Landsat-8: Science and product vision for terrestrial global change research
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared. Landsat 8 extends the remarkable 40 year Landsat record and has enhanced capabilities including new spectral bands in the blue and cirrus cloud-detection portion of the spectrum, two thermal bands, i
Authors
David P. Roy, M.A. Wulder, Thomas R. Loveland, C. E. Woodcock, R. G. Allen, M. C. Anderson, D. Helder, J. R. Irons, D.M. Johnson, R. Kennedy, T. A. Scambos, Crystal B. Schaaf, J. R. Schott, Y. Sheng, E. F. Vermote, A.S. Belward, R. Bindschadler, W.B. Cohen, F. Gao, J. D. Hipple, Patrick Hostert, J. Huntington, C.O. Justice, A. Kilic, Valeriy Kovalskyy, Z. P. Lee, Leo Lymburner, J. G. Masek, Joel McCorkel, Y. Shuai, R. Trezza, James Vogelmann, R.H. Wynne, Z. Zhu
A design for a sustained assessment of climate forcings and feedbacks on land use land cover change
Land use and land cover change (LULCC) significantly influences the climate system. Hence, to prepare the nation for future climate change and variability, a sustained assessment of LULCC and its climatic impacts needs to be undertaken. To address this objective, not only do we need to determine contemporary trends in land use and land cover that affect, or are affected by, weather and climate but
Authors
Thomas Loveland, Rezaul Mahmood
Landsat Science Team meeting — First Landsat 8 evaluations
The U.S. Geological Survey (USGS)-NASA Landsat Science Team (LST) met at the USGS’ Earth Resources Observation and Science (EROS) Center near Sioux Falls, SD, from October 29-31, 2013. All meeting presentations can be downloaded from landsat.usgs.gov/science_LST_October_29_31_2013.php.
Authors
Thomas R. Loveland, Michael A. Wulder, James R. Irons
Monitoring conterminous United States (CONUS) land cover change with Web-Enabled Landsat Data (WELD)
Forest cover loss and bare ground gain from 2006 to 2010 for the conterminous United States (CONUS) were quantified at a 30 m spatial resolution using Web-Enabled Landsat Data available from the USGS Center for Earth Resources Observation and Science (EROS) (http://landsat.usgs.gov/WELD.php). The approach related multi-temporal WELD metrics and expert-derived training data for forest cover loss an
Authors
M.C. Hansen, Alexey Egorov, P.V. Potapov, S.V. Stehman, A. Tyukavina, S.A. Turubanova, David P. Roy, S.J. Goetz, Thomas R. Loveland, J. Ju, A. Kommareddy, Valeriy Kovalskyy, C. Forsyth, T. Bents